Reverse social contagion as a mechanism for regulating mass behaviors in highly integrated social systems.

IF 2.2 Q2 MULTIDISCIPLINARY SCIENCES PNAS nexus Pub Date : 2024-06-26 eCollection Date: 2024-07-01 DOI:10.1093/pnasnexus/pgae246
Maurizio Porfiri, Pietro De Lellis, Eighdi Aung, Santiago Meneses, Nicole Abaid, Jane S Waters, Simon Garnier
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Abstract

Mass behavior is the rapid adoption of similar conduct by all group members, with potentially catastrophic outcomes such as mass panic. Yet, these negative consequences are rare in integrated social systems such as social insect colonies, thanks to mechanisms of social regulation. Here, we test the hypothesis that behavioral deactivation between active individuals is a powerful social regulator that reduces energetic spending in groups. Borrowing from scaling theories for human settlements and using behavioral data on harvester ants, we derive ties between the hypermetric scaling of the interaction network and the hypometric scaling of activity levels, both relative to the colony size. We use elements of economics theory and metabolic measurements collected with the behavioral data to link activity and metabolic scalings with group size. Our results support the idea that metabolic scaling across social systems is the product of different balances between their social regulation mechanisms.

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在高度整合的社会系统中,反向社会传染是一种调节大众行为的机制。
群体行为是指所有群体成员迅速采取类似的行为,可能造成灾难性后果,如群体恐慌。然而,在社会昆虫群落等综合社会系统中,由于社会调节机制的存在,这些负面后果并不多见。在这里,我们检验了这样一个假设:活跃个体之间的行为失活是一种强大的社会调节机制,它能减少群体中的能量消耗。借鉴人类住区的缩放理论,并利用收割蚁的行为数据,我们得出了互动网络的超计量缩放与活动水平的超计量缩放之间的联系,两者都与蚁群规模有关。我们利用经济学理论和行为数据收集到的新陈代谢测量数据,将活动和新陈代谢比例与群体规模联系起来。我们的研究结果支持这样一种观点,即不同社会系统的代谢缩放是其社会调节机制之间不同平衡的产物。
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